200000.00 Dollar US$ Mold Breakout Prediction System Wuhan
- Location: Wuhan, Hubei, China
Overview:
The BPS-K600 continuous casting mould breakout prediction system is developed by Wuhan CenterRise M&C Measuring Co., Ltd. It adopts artificial neural network and combines with traditional artificial intelligence and information processing technology to overcome the defects of traditional logic-based prediction models. It has the functions of self-adaptation, self-organization and real-time learning.
The breakout prediction system has an optimized industrial network structure. According to the distribution and change rules of the temperature field of the mold, it can track and respond to the breakout process in real time. It can learn and judge by itself, and provide early warning information for on-site operations. It can effectively prevent the occurrence of breakout accidents, greatly reducing the cost and improving the safety factor of continuous casting.
The system is suitable for all kinds of continuous casting machines such as square billet, round billet, rectangular billet and slab.
Block Diagram of Breakout Prediction System
The composition of the system
Thermocouple: according to the on-site conditions of the mold, water tank, bolts and mold frame to desgin
Front-end acquisition system: Multi-module acquisition chain, industrial Ethernet interface, high-speed embedded processing module
Working platform: Real-time display of mold temperature field status, online analysis and prediction of mold breakout
Server: Data exchange and storage management, reporting and printing system, with data analysis and self-learning functions
The Main technical parameters
Data sampling: the sampling frequency of K-type/T-type thermocouple can up to 10HZ
Accuracy of temperature measurement: ±0.25℃
Support communication protocol: Industrial Ethernet (TCP/IP)，PROFIBUS-DP，CANopen
Executive standard: DE0411 Standard Class III/1EC584/IEC1515
Transmission speed: 100M/bps
The composition of the software
Online monitoring software for breakout prediction
Offline query software for breakout prediction
Data recovery and self-learning software packages
Data acquisition and monitoring software
The software package of mold thermal status display
The functions of the system
Real-time data acquisition, data analysis and judgment
Automatic selection of steel grade’s alarm parameters
Real-time dynamic picture monitoring
Prediction alarm and information display of breakout signs
Automatic deceleration after alarm
Historical data storage and historical trend graph display
Automatic report generation and printing
Alarm prediction and pattern recognition of unknown steel grades by neural network
Dynamic real-time temperature profile prediction
Mould heat flow field display
FIG 1：Typical process of mold breakout prediction
The features of the system
1. Reasonable design of temperature measurement point and professional protection front-end acquisition system, and complete installation and calibration tool components.
2. The system has strong adaptability and can meet the transformation of various structural continuous casting machines.
3. High-speed data communication, using industrial network to form an independent local area network for each workstation and server. It can realize high-speed data transmission of alarm files, alarm parameters, and other databases.
4. The combination of artificial neural network and intelligent forecasting model improves the alarm accuracy of breakout forecasting.
5. Historical data storage and historical trend graph display, historical reports, historical alarm legend printing, real-time alarm data printing.
6. Provide a local area network interface, which can realize the storage and forwarding of alarm files, and the input and output of offline alarm data.
7. Remote Web browsing can be achieved according to customer needs.
8. Can be seamlessly connected with MES-C220 mould expert system.
Wuhan CenterRise M&C Engineering CO., Ltd.
more info, please contact
Mobile: +86 13995588597
Wechat/whatsapp：+86 15727288019
sales@whzfy.com
Website：whzfy18.com
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